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Are wildfires in the wildland-urban interface increasing temperatures? A land surface temperature assessment in a semi-arid Mexican city

Ayala-Carrillo, Farfán, Cárdenas-Nielsen, Lemoine-Rodríguez
High rates of land conversion due to urbanization are causing fragmented and dispersed spatial patterns in the wildland-urban interface (WUI) worldwide. The occurrence of anthropogenic fires in the WUI represents an important environmental and social issue, threatening not only…
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Fire Effects, Fire Occurrence, Wildland-Urban Interface (WUI)
Region(s): International
Keywords: Mexico, fire, Mexico, grassland, urban climate, burned area, periurban areas, LST - Land Surface Temperature

An intelligent wildfire detection approach through cameras based on deep learning

Wei, Xu, Li, Jiang
Fire is one of the most serious disasters in the wild environment such as mountains and jungles, which not only causes huge property damage, but also may lead to the destruction of natural ecosystems and a series of other environmental problems. Considering the superiority and…
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Fire Occurrence, Mapping, Monitoring and Inventory
Region(s): International
Keywords: wildfires, fire detection, video cameras, YOLOv5S, MobileNetv3

Crown fire modeling and its effect on atmospheric characteristics

Loboda, Kasymov, Agafontsev, Reyno, Lutsenko, Staroseltseva, Perminov, Martynov, Loboda, Orlov
The article is concerned with the experimental study of the crown fire effect on atmospheric transport processes: the formation of induced turbulence in the vicinity of the fire source and the transport of aerosol combustion products in the atmosphere surface layer at low…
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Behavior, Fire Effects, Models
Region(s): International
Keywords: crown fire, aerosols, mass transfer, atmosphere, wildfires, boreal forest, atmospheric processes

The consequential role of aesthetics in forest fuels reduction propensities: diverse landowners’ attitudes and responses to project types, risks, costs, and habitat benefits

Ribe, Nielsen-Pincus, Johnson, Enright, Hulse
Private landowners in the southern Willamette Valley of Oregon, USA were surveyed. The survey queried probabilities of implementing specific fuels reduction projects in extensive areas of specific forest types on their property. The projects were described in relation to the…
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Fuels, Hazard and Risk, Restoration and Rehabilitation
Region(s): Northwest
Keywords: wildfire, fuels reduction, private forests, Oregon, aesthetics, habitat restoration

Airbnb host’s perspectives on climate change: wildfire threats to rural tourism

Slocum
This paper investigates the impact of wildfire threats, and the resulting smoke, on nature-based rural tourism. As both residents of the community and business owners, Airbnb hosts provide valuable insight into the challenges facing tourism in southern Oregon. As an…
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Climate, Hazard and Risk, Social Science
Region(s): Northwest
Keywords: wildfires, tourism, natural disasters, Oregon, climate change

Multifractal analysis of MODIS Aqua and Terra satellite time series of Normalized Difference Vegetation Index and Enhanced Vegetation Index of sites affected by wildfires

Ba, Lovallo, Song, Zhang, Telesca
The MODIS Aqua and Terra Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) time series acquired during nearly two decades (2000 to 2020) covering the area burned by the Camp Fire (California) in 2018 is investigated in this study by using the…
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Fire Ecology, Fire Effects, Mapping, Monitoring and Inventory
Region(s): International
Keywords: wildfires, remote sensing, satellite time series, multifractal, power spectrum, MODIS - Moderate Resolution Imaging Spectroradiometer, NDVI - Normalized Difference Vegetation Index, EVI - Enhanced Vegetation Index, Aqua satellite, Terra satellite

Exploring the potential of Lidar and Sentinel-2 data to model the post-fire structural characteristics of gorse shrublands in NW Spain

Fernández-Alonso, Llorens, Sobrino, Ruiz-González, Álvarez-González, Vega, Fernández
The characterization of aboveground biomass is important in forest management planning, with various objectives ranging from prevention of forest fires to restoration of burned areas, especially in fire-prone regions such as NW Spain. Although remotely sensed data have often…
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Fire Ecology, Fire Effects, Fuels, Mapping, Models, Monitoring and Inventory
Region(s): International
Keywords: wildfire, biomass, Sentinel-2, LiDAR - Light Detection and Ranging, fuel load, northwestern Spain, gorse shrubland, post-fire community structure

Novel recursive BiFPN combining with Swin Transformer for wildland fire smoke detection

Li, Zhao, Zheng
The technologies and models based on machine vision are widely used for early wildfire detection. Due to the broadness of wild scene and the occlusion of the vegetation, smoke is more easily detected than flame. However, the shapes of the smoke blown by the wind change…
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Monitoring and Inventory
Region(s): International
Keywords: wildland fire, smoke detection, wildfire, BiFPN - bidirectional feature pyramid network, Swin Transformer, feature enhancement

A wildfire smoke detection system using unmanned aerial vehicle images based on the optimized YOLOv5

Mukhiddinov, Abdusalomov, Cho
Wildfire is one of the most significant dangers and the most serious natural catastrophe, endangering forest resources, animal life, and the human economy. Recent years have witnessed a rise in wildfire incidents. The two main factors are persistent human interference with the…
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Monitoring and Inventory
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, International, National
Keywords: wildfire detection, forest fire, UAV - unmanned aerial vehicles, drone images, YOLOv5, deep learning, CNN - convolution neural network, smoke detection

Assessment of satellite AOD during the 2020 wildfire season in the Western U.S.

Ye, Deshler, Lyapustin, Wang, Kondragunta, Saide
Satellite remote sensing of aerosol optical depth (AOD) is essential for detection, characterization, and forecasting of wildfire smoke. In this work, we evaluate the AOD (550 nm) retrievals during the extreme wildfire events over the western U.S. in September 2020. Three…
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Monitoring and Inventory
Region(s): California
Keywords: AOD - aerosol optical depth, MODIS - Moderate Resolution Imaging Spectroradiometer, VIIRS - Visible Infrared Imaging Radiometer Suite, retrieval, wildfire, MAIAC - Multi‐angle Implementation of Atmospheric Correction, AERONET - Aerosol Robotic Network